A statistical study is an analysis of data gathered from a specific group, or
Statistical studies follow a standard general process.
When taking a sample of a population, it is necessary to select the individuals or objects from which the data is collected. The sample should represent the population as a whole so it can be said that the results apply to the population. Therefore, the selection of the sample is important. Often, this means making a random selection, in which chance determines which parts of the population are included in the sample.
If the population is divided into different sub-groups that share similar characteristics, the selection should be made to reflect this distribution. This is known as a stratified sample. For example, if the population contains men and of women, then the sample should also have four times as many men as women.
Two different samples are described below. Determine if it's a random sample or if it's biased.
If a sample represents the population as a whole, the sample is said to be representative. If not, there is an error in the sampling called bias. Therefore, we should determine if each sample represents the population or not.
A hypothesis is an assumption regarding a parameter in a population. Here are two examples.
There are several different methods to collect data for statistical studies. Often, which method is best depends on the purpose of the study.
An experiment involves a group of participants undergoing a specific treatment with the goal of collecting data about their reactions to the treatment.
In some statistical studies it is necessary to conduct an experiment in order to collect the data. For example, this method is often used when studying the effects of a medical treatment.
Determine the type of statistical study.